code: def make_dataset(ampli_factor=1.0, n_subj=10):
      """
      Generate a standard multi-subject as a set of multi-subject 2D maps
      if null, no activation is added
      """
      n_subj = 10
      shape = (40, 40)
      pos = 2 * np.array([[6, 7], [10, 10], [15, 10]])
      ampli = ampli_factor * np.array([5, 6, 7])
      dataset = surrogate_2d_dataset(
          n_subj=n_subj,
          shape=shape,
          pos=pos,
          ampli=ampli,
          width=5.0,
          seed=1,
      )
      return dataset
  
file_path: nipy/nipy/labs/utils/tests/test_repro.py
imports: import numpy
  from ..reproducibility_measures import cluster_reproducibility, peak_reproducibility, voxel_reproducibility
  from ..simul_multisubject_fmri_dataset import surrogate_2d_dataset
label_desc: Use image node_id 1 for calling a global function with example usage: make_dataset(ampli_factor, n_subj) and returns: dataset